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A New Method for Defining Scale to Estimate the Aspects Oriented Sentiment Polarity of the Tweets

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Recent Trends in Image Processing and Pattern Recognition (RTIP2R 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1380))

Abstract

The positive or negative polarity of an opinion on a product, event, or activity is not strengthen enough if the tweet of opinion exploring about the vivid aspects of the target objective. In this regard, many of the contributions in contemporary research has portrayed for sentiment analysis using supervised learning. However, the content on twitter, which is social media platform to share the opinion on anything, limits the size of each tweet. Hence, the users intend to express negative polarity of the opinion in their tweets. This trend has not consider much in contemporary contributions of sentiment analysis. In this context, the proposal of this manuscript portrayed “A New Method for Defining Scale to Estimate the Aspects Oriented Sentiment Polarity (SEAOSP) of the Tweets”. Experimental study evincing the significance of the proposal that scaled by comparing the performance of other contemporary model with the proposed model.

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Acknowledgements

The authors are thankful to the UGC, New Delhi for supporting this research work at School of Computer Sciences, KBCNMU, Jalgaon under the SAP DRS-II level.

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Authors and Affiliations

  1. Department of Computer Engineering, Shri Gulabrao Deokar College of Engineering, Jalgaon, India

    Sudarshan S. Sonawane

  2. School of Computer Sciences, Kavayitri Bahinabai Chaudhari North Maharashtra University, Jalgaon, India

    Satish R. Kolhe

Authors
  1. Sudarshan S. Sonawane
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  2. Satish R. Kolhe
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Correspondence to Sudarshan S. Sonawane .

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Editors and Affiliations

  1. University of South Dakota, Vermillion, SD, USA

    K. C. Santosh

  2. Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India

    Bharti Gawali

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Sonawane, S.S., Kolhe, S.R. (2021). A New Method for Defining Scale to Estimate the Aspects Oriented Sentiment Polarity of the Tweets. In: Santosh, K.C., Gawali, B. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2020. Communications in Computer and Information Science, vol 1380. Springer, Singapore. https://doi.org/10.1007/978-981-16-0507-9_28

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  • DOI: https://doi.org/10.1007/978-981-16-0507-9_28

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  • Print ISBN: 978-981-16-0506-2

  • Online ISBN: 978-981-16-0507-9

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